haesun
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xlm-roberta-base-finetuned-panx-de

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haesun commited on Oct 15, 2023

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0843526

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1 Parent(s): 8686338

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README.md +6 -6
pytorch_model.bin +1 -1
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.8606487530534567
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1409
-- F1: 0.8606
 ## Model description
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2572        | 1.0   | 525  | 0.1538          | 0.8187 |
-| 0.1233        | 2.0   | 1050 | 0.1475          | 0.8492 |
-| 0.0796        | 3.0   | 1575 | 0.1409          | 0.8606 |
 ### Framework versions

     metrics:
     - name: F1
       type: f1
+      value: 0.8657241810026685
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1338
+- F1: 0.8657
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.257         | 1.0   | 525  | 0.1557          | 0.8218 |
+| 0.126         | 2.0   | 1050 | 0.1460          | 0.8521 |
+| 0.0827        | 3.0   | 1575 | 0.1338          | 0.8657 |
 ### Framework versions

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